Specific characteristics of this model are shown in this table.
| Item | Details |
|---|---|
| Disease | Cholera |
| ModelingGroup | JHU-Lee |
| YearRange | 2000-2100 |
| AgeRange | 0-100 |
| CountryList | AFG - AGO - BDI - BEN - BFA - BGD - CAF - CIV - CMR - COD - COG - DZA - ETH - GHA - GIN - GNB - HTI - IND - IRN - IRQ - KEN - LBR - MDG - MLI - MOZ - MRT - MWI - NAM - NER - NGA - NPL - PAK - PHL - RWA - SEN - SLE - SOM - SSD - TCD - TGO - THA - TZA - UGA - YEM - ZAF - ZMB - ZWE |
| SimulatedOutcomes | cohort_size - cases - deaths - dalys |
The trends of the specific coverage sets for the campaign scenario can be observed in this figure.
| coverage_set_name | age_from | age_to | freq |
|---|---|---|---|
| cholera-campaign-default | 1 | 100 | 286 |
The estimates of fully vaccinated persons (FVPs) are obtained by multiplying coverage from each coverage set and the target population. The following picture shows the Fully Vaccinated Persons (FVPs) at global level by scenario for Cholera.
| scenario_description | outcome_code | number_of_non_na_rows |
|---|---|---|
| Campaign, Default | cohort_size | 479447 |
| Campaign, Default | cases | 479447 |
| Campaign, Default | deaths | 479447 |
| Campaign, Default | dalys | 479447 |
| No vaccination | cohort_size | 479447 |
| No vaccination | cases | 479447 |
| No vaccination | deaths | 479447 |
| No vaccination | dalys | 479447 |
This figure shows the shape of the upload by scenarios and outcomes (whether there are missing values, 1 means no missing value)
This figure shows the pattern of positive values (number of positive values across all simulated countries)
This figure shows the comparison of cohort size against interpolated population in all countries.
This figure shows the comparison of cohort size against interpolated population in the simulated countries.
| Countries | PopulationDifference | Frequency | Proportion |
|---|---|---|---|
| All | 0 | 10100 | 1 |
## `summarise()` has grouped output by 'country'. You can override using the `.groups` argument.
| Countries | PopulationDifference | Frequency | Proportion |
|---|---|---|---|
| AFG | 0 | 10100 | 1 |
| AGO | 0 | 10100 | 1 |
| BDI | 0 | 10100 | 1 |
| BEN | 0 | 10100 | 1 |
| BFA | 0 | 10100 | 1 |
| BGD | 0 | 10100 | 1 |
| CAF | 0 | 10100 | 1 |
| CIV | 0 | 10100 | 1 |
| CMR | 0 | 10100 | 1 |
| COD | 0 | 10100 | 1 |
| COG | 0 | 10100 | 1 |
| DZA | 0 | 10100 | 1 |
| ETH | 0 | 10100 | 1 |
| GHA | 0 | 10100 | 1 |
| GIN | 0 | 10100 | 1 |
| GNB | 0 | 10100 | 1 |
| HTI | 0 | 10100 | 1 |
| IND | 0 | 10100 | 1 |
| IRN | 0 | 10100 | 1 |
| IRQ | 0 | 10100 | 1 |
| KEN | 0 | 10100 | 1 |
| LBR | 0 | 10100 | 1 |
| MDG | 0 | 10100 | 1 |
| MLI | 0 | 10100 | 1 |
| MOZ | 0 | 10100 | 1 |
| MRT | 0 | 10100 | 1 |
| MWI | 0 | 10100 | 1 |
| NAM | 0 | 10100 | 1 |
| NER | 0 | 10100 | 1 |
| NGA | 0 | 10100 | 1 |
| NPL | 0 | 10100 | 1 |
| PAK | 0 | 10100 | 1 |
| PHL | 0 | 10100 | 1 |
| RWA | 0 | 10100 | 1 |
| SEN | 0 | 10100 | 1 |
| SLE | 0 | 10100 | 1 |
| SOM | 0 | 10100 | 1 |
| SSD | 0 | 10100 | 1 |
| TCD | 0 | 10100 | 1 |
| TGO | 0 | 10100 | 1 |
| THA | 0 | 10100 | 1 |
| TZA | 0 | 10100 | 1 |
| UGA | 0 | 10100 | 1 |
| YEM | 0 | 10100 | 1 |
| ZAF | 0 | 10100 | 1 |
| ZMB | 0 | 10100 | 1 |
| ZWE | 0 | 10100 | 1 |
This figure shows the aggregated (for all countries) age distribution patterns by outcome.
This figure shows the global (simulated countries) burden values by decades 2000-2030.
This figure shows the global (simulated countries) burden disease values 2000-2100.
This figure shows every single simulated countries’ estimated case values and differences 2000-2100.
This figure shows every single simulated countries’ estimated deaths values and differences 2000-2100.
This figure shows every single simulated countries’ estimated dalys values and differences 2000-2100.